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- Artificial neural network (1)
- Computed tomography (1)
- Computer aided detection (1)
- Computer aided diagnosis (1)
- Content based image representation (1)
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- Decision engine (1)
- Distributed applications (1)
- High-definition classroom (1)
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- Interactive visualization (1)
- Isosurface (1)
- Lung cancer (1)
- Multiple datasets (1)
- Nodule detection (1)
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- Texture (1)
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- Tumor detection (1)
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Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
A Modular Approach To Lung Nodule Detection From Computed Tomography Images Using Artificial Neural Networks And Content Based Image Representation, Omer Muhammet Soysal
A Modular Approach To Lung Nodule Detection From Computed Tomography Images Using Artificial Neural Networks And Content Based Image Representation, Omer Muhammet Soysal
LSU Doctoral Dissertations
Lung cancer is one of the most lethal cancer types. Research in computer aided detection (CAD) and diagnosis for lung cancer aims at providing effective tools to assist physicians in cancer diagnosis and treatment to save lives. In this dissertation, we focus on developing a CAD framework for automated lung cancer nodule detection from 3D lung computed tomography (CT) images. Nodule detection is a challenging task that no machine intelligence can surpass human capability to date. In contrast, human recognition power is limited by vision capacity and may suffer from work overload and fatigue, whereas automated nodule detection systems can …
Methods And Design Issues For Next Generation Network-Aware Applications, Andrei Hutanu
Methods And Design Issues For Next Generation Network-Aware Applications, Andrei Hutanu
LSU Doctoral Dissertations
Networks are becoming an essential component of modern cyberinfrastructure and this work describes methods of designing distributed applications for high-speed networks to improve application scalability, performance and capabilities. As the amount of data generated by scientific applications continues to grow, to be able to handle and process it, applications should be designed to use parallel, distributed resources and high-speed networks. For scalable application design developers should move away from the current component-based approach and implement instead an integrated, non-layered architecture where applications can use specialized low-level interfaces. The main focus of this research is on interactive, collaborative visualization of large …
Multiple Dataset Visualization (Mdv) Framework For Scalar Volume Data, Gaurav Khanduja
Multiple Dataset Visualization (Mdv) Framework For Scalar Volume Data, Gaurav Khanduja
LSU Doctoral Dissertations
Many applications require comparative analysis of multiple datasets representing different samples, conditions, time instants, or views in order to develop a better understanding of the scientific problem/system under consideration. One effective approach for such analysis is visualization of the data. In this PhD thesis, we propose an innovative multiple dataset visualization (MDV) approach in which two or more datasets of a given type are rendered concurrently in the same visualization. MDV is an important concept for the cases where it is not possible to make an inference based on one dataset, and comparisons between many datasets are required to reveal …